Context aware, pluggable and customizable data protection and de-identification SDK for text and images
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Updated
Feb 5, 2025 - Python
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
An (un-)ethical hacking-station based on Raspberry Pi and Python
📂🛡️Suite of tools for file fixity (data protection for long term storage⌛) using redundant error correcting codes, hash auditing and duplications with majority vote, all in pure Python🐍
A python steganography module to store messages or files protected with AES-256 encryption inside an image.
automatic regex generation tool
Simple implementation of OpenAI's whisper model to transcribe audio files from your local folders.
Python Data Loss Prevention (DLP) SDK - Nightfall Developer Platform
Collection of tools and resources for managing the statistical disclosure control of trained machine learning models
Library for identification, anonymization and de-anonymization of PII data
Tools for the Semi-Automatic Checking of Research Outputs. These are tools for researchers to use as drop-in replacements for common analysis commands.
The PCI DSS Compliance Toolkit is an open-source project aimed at helping organizations achieve and maintain compliance with the (PCI DSS). This toolkit provides essential resources, tools, and documentation to streamline the compliance process, ensuring the secure handling of cardholder data.
A Python-based tool for encrypting and decrypting messages using the cryptography library's Fernet method. The program features a simple command-line interface and automatic secret key generation for secure data protection.
Scan directories, exports, and backups for sensitive data (like PII and API keys) with Nightfall's data loss prevention (DLP) APIs. Discover what lives at-rest in your data silos.
An interoperable and scalable tool for GDPR consent management and automated compliance verification.
An application of the "Mondrian Multidimensional K-Anonymity" article in Python
Implementation of Mondrian k-anonymity algorithm
find credentials and sensitive data (e.g. access tokens, api keys, passwords, ...) on websites
Infrastructure to store, manage and access user data in a very secure manner.
An ethical dataset supporting research in digital content provenance and authenticity, compliant with C2PA standards. Licensed for non-commercial use under CC BY-NC 4.0.
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